Is your request related to a problem?
Yes, the repository currently lacks a fundamental implementation of Linear Regression, which is a core concept for any beginner in Machine Learning.
Describe the solution you'd like
I would like to add a well-documented Python script that implements Linear Regression using basic mathematics (Gradient Descent) without relying on high-level libraries like Scikit-Learn. It should demonstrate:
- Calculation of weights and bias.
- Mean Squared Error (MSE) calculation.
- A simple test case to show the prediction.
Describe alternatives you've considered
Using Scikit-Learn is an alternative, but for a learning repository, a "from-scratch" approach is better for conceptual clarity.
Example Use Case
Learners can use this to understand the "behind the scenes" logic of how a machine learning model actually learns from data points by adjusting its parameters.
Additional Context
I have a background in ML projects and would be happy to contribute this implementation myself to enhance the repository's educational value.
Is your request related to a problem?
Yes, the repository currently lacks a fundamental implementation of Linear Regression, which is a core concept for any beginner in Machine Learning.
Describe the solution you'd like
I would like to add a well-documented Python script that implements Linear Regression using basic mathematics (Gradient Descent) without relying on high-level libraries like Scikit-Learn. It should demonstrate:
Describe alternatives you've considered
Using Scikit-Learn is an alternative, but for a learning repository, a "from-scratch" approach is better for conceptual clarity.
Example Use Case
Learners can use this to understand the "behind the scenes" logic of how a machine learning model actually learns from data points by adjusting its parameters.
Additional Context
I have a background in ML projects and would be happy to contribute this implementation myself to enhance the repository's educational value.